| Title |
Probing slow timescale dynamics in proteins using methyl 1H CEST
|
|---|---|
| Published in |
Journal of Biomolecular NMR, June 2017
|
| DOI | 10.1007/s10858-017-0121-x |
| Pubmed ID | |
| Authors |
Tairan Yuwen, Rui Huang, Lewis E. Kay |
| Abstract |
Although (15)N- and (13)C-based chemical exchange saturation transfer (CEST) experiments have assumed an important role in studies of biomolecular conformational exchange, (1)H CEST experiments are only beginning to emerge. We present a methyl-TROSY (1)H CEST experiment that eliminates deleterious (1)H-(1)H NOE dips so that CEST profiles can be analyzed robustly to extract methyl proton chemical shifts of rare protein conformers. The utility of the experiment, along with a version that is optimized for (13)CHD2 labeled proteins, is established through studies of exchanging protein systems. A comparison between methyl (1)H CEST and methyl (1)H CPMG approaches is presented to highlight the complementarity of the two experiments. |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 30% |
| Researcher | 13 | 28% |
| Professor > Associate Professor | 5 | 11% |
| Student > Bachelor | 2 | 4% |
| Student > Master | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 32% |
| Chemistry | 11 | 23% |
| Agricultural and Biological Sciences | 6 | 13% |
| Computer Science | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 10 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 June 2017.
All research outputs
#15,466,074
of 22,982,639 outputs
Outputs from Journal of Biomolecular NMR
#383
of 616 outputs
Outputs of similar age
#198,564
of 315,940 outputs
Outputs of similar age from Journal of Biomolecular NMR
#1
of 5 outputs
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So far Altmetric has tracked 616 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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